sachag678 Goto Github PK

100daysofcode

This will contain all the code I write during the next 100 days

algorithms-coding-interview

Working solutions of the coding interview questions

arbiter

A tool for hyperparameter optimization of machine learning models

bnt

Bayes Net Toolbox for Matlab

boggle-solver

Finds the words in the game of Boggle. Can handle games of any size*

configurationfiles

Contains all my config files

coserec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

deeplearning4j

Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

detect-a-clock

docs

Source code for the Streamlit Python library documentation

freecodecamp

Contains code for teaching an agent the rules of Rock Paper Scissors

iphone-tracker

Dashboard for tracking the prices of used iphones to find the best deal | uses Pandas and Dash

javascript_projects

All my Javascript projects

jloaf

Java Learning from observation Framework using CBR and Bayesian Networks

jloaf-tetris

jloaf-vacuumcleaner

learn-docker

Sample project used to learn how to use docker-compose and Dockerfile to setup a simple python webserver.

lfo_framework

A framework that focuses on using bayesian and Dynamic Bayesian Networks to perform Learning from observation on Discrete Domains

matlab_projects

Matlab code with examples of algorithms I'm learning/testing

observerpattern

Uses Observer Pattern and EventModel to build a one-to-many subscriber list.

optimization

Visualizes optimization algorithms in 2D space using plotly and streamlit

play-json

The Play JSON library

play-json-zipper

An updated/maintained version of play-json-zipper

python_projects

Python Projects using sckit-learn, tensorflow, requests, unittesting, time series prediction, weather apps, multi threading

rcss

Contains the batch files for running and closing RoboCup games

reinforcement_learning

Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.

requests-for-research

A living collection of deep learning problems

sacha-mvn

Contains mvn artifacts

sachag678

sachag678.github.io